AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
-
Updated
Mar 4, 2024 - Python
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Python code for common Machine Learning Algorithms
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
A lean C++ library for working with point cloud data
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Implement face recognition using PCA, LDA and LPP
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
H2Oai GPU Edition
🏗️ Statistical models for biomolecular dynamics 🏗️
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
Add a description, image, and links to the pca topic page so that developers can more easily learn about it.
To associate your repository with the pca topic, visit your repo's landing page and select "manage topics."